Objective To explore the MRI images and clinical characteristics of right ventricular outflow tract obstruction(RVOTO)in hypertrophic cardiomyopathy(HCM)patients.Methods The clinical and imaging data of 30 patients with RVOTO and 55 randomly selected patients with simple left ventricular outflow tract obstruction(LVOTO)were retrospectively analyzed,and the data between the two groups were statistically analyzed.Results The N-terminal pro-B type natriuretic peptide(NT-proBNP)value,the average thickness of left ventricular basal end diastolic anterior wall and anterior septum,the proportion of"scallop sign"on imaging,and the mass percentage of myocardial late gadolinium enhancement(LGE)in RVOTO group were significantly higher than those in LVOTO group(P<0.01).Conclusion RVOTO is the result of multiple factors,including the thickening of interventricular septum,as well as the right ventricular free wall.When the"scallop sign"appears in MRI examinations of HCM patients,it is necessary to be highly vigilant for the presence of RVOTO.

Mesenchymal stem cells (MSCs) have been widely used in the treatment of various autoimmune and inflammation-related diseases due to their potent immunomodulatory properties. Several studies have demonstrated that MSC-mediated immunomodulation is complex and bidirectional, with the in vivo microenvironment influencing the direction of this modulation. Indoleamine-2,3-dioxygenase (IDO), an immunosuppressive factor, has been identified as a key "switch" in the immunomodulatory role of MSCs. In this review, we explore how IDO functions as a critical regulator of MSC immunoregulatory plasticity. We delve into the mechanisms by which changes in IDO expression affect the function of various immune cells, summarize relevant research and clinical advances regarding the role of IDO expression in MSC-based therapies for various diseases, and discuss potential therapeutic strategies that target IDO to enhance the stability of MSC therapeutic effects. This provides a theoretical foundation for optimizing MSCs as safer and more effective clinical therapeutic agents.

Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.

Advancements in artificial intelligence(AI)and emerging technologies are rapidly expanding the exploration of chemical space,facilitating innovative drug discovery.However,the transformation of novel compounds into safe and effective drugs remains a lengthy,high-risk,and costly process.Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development.Despite this need,no comprehensive tool currently supports systematic evaluation and efficient screening.Here,we present druglikeFilter,a deep learning-based framework designed to assess drug-likeness across four critical dimensions:1)physicochemical rule evaluated by systematic determination,2)toxicity alert investigated from multiple perspectives,3)binding affinity measured by dual-path analysis,and 4)compound synthesizability assessed by retro-route prediction.By enabling automated,multidimensional filtering of compound libraries,druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates,which can be freely accessed at https://idrblab.org/drugfilter/.

Objective:To investigate the mechanism by which hydrogen alleviates myocardial ischemia/reperfusion injury (IRI) through ultrasound-targeted destruction of hydrogen-loaded phospholipid microbubbles in the ischemic myocardium of rats.Methods:A total of 45 rats were randomly divided into three groups: sham operation group, IRI group (model group), and hydrogen treatment group (experimental group), with 15 rats in each group. A rat model of myocardial IRI was established. Rats in the sham group received 0.2 ml of normal saline via the tail vein, those in the model group received 0.2 ml of phospholipid microbubbles without hydrogen, and those in the treatment group received 0.2 ml of hydrogen-loaded phospholipid microbubbles. After 24 hours, cardiac function was assessed by left ventricular ejection fraction (LVEF) and left ventricular fractional shortening (LVFS). Serum levels of cardiac troponin I (cTnI), creatine kinase-myocardial band (CK-MB), lactate dehydrogenase (LDH), and interleukin-6 (IL-6) were measured by enzyme-linked immunosorbent assay (ELISA). Expression levels of Janus knase 2(JAK2), signal transducer and activator of transcription 3(STAT3), phosphorylated JAK2(p-JAK2), and phosphorylated STAT3(p-STAT3) proteins in myocardial tissue were detected by Western blot. Myocardial infarct size was evaluated by 2,3,5-triphenyltetrazolium chloride (TTC) staining, and myocardial histopathological changes were observed by hematoxylin-eosin (HE) staining.Results:After 24 hours of reperfusion, LVEF [(54.26±2.92) % vs (45.77±27%)] and LVFS [(24.11±1.68) % vs (19.50±1.19%)] were significantly higher in the treatment group than in the model group (both P<0.001). ELISA results showed that levels of CK-MB [(13.58±2.07) μg/L vs (20.07±1.57) μg/L], LDH [(47.76±8.32) μg/L vs (74.39±10.19) μg/L], cTnI [(7.50±0.26) μg/L vs (9.05±0.34) μg/L], and IL-6 [(121.34±8.97) ng/L vs (156.99±6.46) ng/L] were significantly lower in the treatment group compared with the model group (all P<0.001). TTC staining revealed a smaller infarct size in the treatment group [(48.77±2.68)%] than in the model group [(63.53±3.10)%, P<0.001]. Western blot analysis showed that the expression levels of JAK2 and p-STAT3 proteins were significantly lower in the treatment group than in the model group ( P<0.05). HE staining showed no pathological abnormalities in major organs (heart, liver, spleen, lung, and kidney) following hydrogen microbubble treatment. Conclusions:Ultrasound-targeted destruction of hydrogen microbubbles enables local hydrogen release in the myocardium, which downregulates IL-6 and inhibits activation of the JAK/STAT signaling pathway, thereby attenuating inflammation and reducing ischemia/reperfusion injury.

Objective To explore the MRI images and clinical characteristics of right ventricular outflow tract obstruction(RVOTO)in hypertrophic cardiomyopathy(HCM)patients.Methods The clinical and imaging data of 30 patients with RVOTO and 55 randomly selected patients with simple left ventricular outflow tract obstruction(LVOTO)were retrospectively analyzed,and the data between the two groups were statistically analyzed.Results The N-terminal pro-B type natriuretic peptide(NT-proBNP)value,the average thickness of left ventricular basal end diastolic anterior wall and anterior septum,the proportion of"scallop sign"on imaging,and the mass percentage of myocardial late gadolinium enhancement(LGE)in RVOTO group were significantly higher than those in LVOTO group(P<0.01).Conclusion RVOTO is the result of multiple factors,including the thickening of interventricular septum,as well as the right ventricular free wall.When the"scallop sign"appears in MRI examinations of HCM patients,it is necessary to be highly vigilant for the presence of RVOTO.

Objective:To investigate the mechanism by which hydrogen alleviates myocardial ischemia/reperfusion injury (IRI) through ultrasound-targeted destruction of hydrogen-loaded phospholipid microbubbles in the ischemic myocardium of rats.Methods:A total of 45 rats were randomly divided into three groups: sham operation group, IRI group (model group), and hydrogen treatment group (experimental group), with 15 rats in each group. A rat model of myocardial IRI was established. Rats in the sham group received 0.2 ml of normal saline via the tail vein, those in the model group received 0.2 ml of phospholipid microbubbles without hydrogen, and those in the treatment group received 0.2 ml of hydrogen-loaded phospholipid microbubbles. After 24 hours, cardiac function was assessed by left ventricular ejection fraction (LVEF) and left ventricular fractional shortening (LVFS). Serum levels of cardiac troponin I (cTnI), creatine kinase-myocardial band (CK-MB), lactate dehydrogenase (LDH), and interleukin-6 (IL-6) were measured by enzyme-linked immunosorbent assay (ELISA). Expression levels of Janus knase 2(JAK2), signal transducer and activator of transcription 3(STAT3), phosphorylated JAK2(p-JAK2), and phosphorylated STAT3(p-STAT3) proteins in myocardial tissue were detected by Western blot. Myocardial infarct size was evaluated by 2,3,5-triphenyltetrazolium chloride (TTC) staining, and myocardial histopathological changes were observed by hematoxylin-eosin (HE) staining.Results:After 24 hours of reperfusion, LVEF [(54.26±2.92) % vs (45.77±27%)] and LVFS [(24.11±1.68) % vs (19.50±1.19%)] were significantly higher in the treatment group than in the model group (both P<0.001). ELISA results showed that levels of CK-MB [(13.58±2.07) μg/L vs (20.07±1.57) μg/L], LDH [(47.76±8.32) μg/L vs (74.39±10.19) μg/L], cTnI [(7.50±0.26) μg/L vs (9.05±0.34) μg/L], and IL-6 [(121.34±8.97) ng/L vs (156.99±6.46) ng/L] were significantly lower in the treatment group compared with the model group (all P<0.001). TTC staining revealed a smaller infarct size in the treatment group [(48.77±2.68)%] than in the model group [(63.53±3.10)%, P<0.001]. Western blot analysis showed that the expression levels of JAK2 and p-STAT3 proteins were significantly lower in the treatment group than in the model group ( P<0.05). HE staining showed no pathological abnormalities in major organs (heart, liver, spleen, lung, and kidney) following hydrogen microbubble treatment. Conclusions:Ultrasound-targeted destruction of hydrogen microbubbles enables local hydrogen release in the myocardium, which downregulates IL-6 and inhibits activation of the JAK/STAT signaling pathway, thereby attenuating inflammation and reducing ischemia/reperfusion injury.

Objective Through the study of different grades for Atractylodis macrocephalae Rhizoma decoction pieces,improve the quality evaluation method,and provide theoretical basis for the classification of Atractylodis macrocephalae Rhizoma.Methods According to the traditional classification,the Atractylodis macrocephalae Rhizoma decoction pieces was divided into three grades.By HPLC and UV method,the determination of atractylodes lactone Ⅰ,Ⅱ,Ⅲ and the content of total polysaccharide for 36 batches of different grades of Atractylodis macrocephalae Rhizoma decoction pieces.According to the 2020 edition of Chinese pharmacopoeia,the correlation between the appearance traits of different grades of Atractylodis macrocephalae Rhizoma decoction pieces and the internal quality control indexes was analyzed.Results According to the appearance characters,multiple quality control index of content determination,through the principal component analysis,cluster analysis and so forth.The quality of first-grade decoction pieces of Atractylodis macrocephalae Rhizoma is significantly better than the second-grade and third-grade decoction pieces(P<0.05),and there is no significant difference between second-grade and third-grade decoction pieces(P>0.05).As a result,the Atractylodis macrocephalae Rhizoma decoction pieces can be divided into two grades,different grades with the content of atractylodes lactone and total polysaccharide were positively correlated.Conclusion The classification of Atractylodis macrocephalae Rhizoma decoction pieces based on multiple quality control indexes combined with appearance characters can provide a scientific basis for the quality control and grade study of this decoction piece.

Objective To explore the clinical value of preoperative Glasgow-Blatchford score(GBS)and AIMS65 score in predicting the prognosis of patients with non-variceal upper gastrointestinal bleeding after receiving interventional treatment.Methods The clinical data of 59 patients with non-variceal upper gastrointestinal bleeding,who received transcatheter arterial embolization(TAE)at the Department of Interventional Vascular Surgery,Shanghai Tenth People's Hospital of China between 2018 and 2021,were collected.The clinical value of GBS and AIMS65 score in predicting patient's outcome was analyzed.Results With the preoperative GBS and AIMS65 scores increasing,the mortality also increased.Compared with AIMS65 score(AUC=0.630,0.95％CI:0.494-0.752),GBS(AUC=0.823,95％CI:0.702-0.910)had a higher predictive value for postoperative in-hospital death in patients with non-variceal upper gastrointestinal bleeding after receiving interventional treatment.With a GBS cutoff＞9 points,the Youden index for predicting in-hospital death was 0.54.Conclusion In predicting the postoperative in-hospital death for patients with non-variceal upper gastrointestinal bleeding after receiving TAE,the clinical value of the preoperative GBS score is higher than that of AIMS65 score.

Purpose/Significance Based on international cases,the paper analyzes the application development of artificial intelli-gence(Al)technology in the medical field,and provides references for improving the application of AI technology in the medical field in China.Method/Process The literature is searched on CNKI,and institutions with high influence in the international health technology industry are selected according to the exclusion criteria for further analysis.Result/Conclusion A total of 8 AI medical technologies relat-ed to health technology industries or teams in 7 countries are selected and included,based on the convenience and advantages brought by them,to provide references to explore and improve the research and application of AI in the medical field.